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Zihuai received a PhD from the University of Michigan in 2016. He completed postdoctoral training in biostatistics at Columbia University and joined Stanford University in 2018. His research is concentrated in the areas of biostatistics, statistical genetics, and integrative analysis of omics data. Currently, his methodological work focuses on statistical inference for high-dimensional large-scale testing problems, incorporating rigorous feature selection and machine learning methods. Zihuai aims to translate data-driven discoveries into mechanistic insights for drug targets.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.